Multi-UAV Task Allocation Method Based on Improved Bat Algorithm.

At present, as a method of solving large-scale complex optimization problems, bionic algorithms are widely used in multi-UAV task allocation. Bat algorithm, as a kind of bionic algorithm, has problems such as long flying distance of UAV in the process of task allocation. In this paper, an improved bat algorithm for multi-UAV task allocation method is proposed. On the basis of the bat algorithm, the comparison of the number of drones and target points and the calculation of the flight distance of the drone are added. The experimental results show that the improved algorithm can reduce the calculation time and the flight time of the UAV, shorten the flight distance of the UAV, and improve the efficiency of the algorithm.